Dataset Card for "wiqa"

Dataset Summary

The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph. The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 5.24 MB
• Size of the generated dataset: 22.40 MB
• Total amount of disk used: 27.65 MB

An example of 'validation' looks as follows.

{
    "answer_label": "more",
    "answer_label_as_choice": "A",
    "choices": {
        "label": ["A", "B", "C"],
        "text": ["more", "less", "no effect"]
    },
    "metadata_graph_id": "481",
    "metadata_para_id": "528",
    "metadata_path_len": 3,
    "metadata_question_id": "influence_graph:528:481:77#0",
    "metadata_question_type": "INPARA_EFFECT",
    "question_para_step": ["A male and female rabbit mate", "The female rabbit becomes pregnant", "Baby rabbits form inside of the mother rabbit", "The female rabbit gives birth to a litter", "The newborn rabbits grow up to become adults", "The adult rabbits find mates."],
    "question_stem": "suppose the female is sterile happens, how will it affect LESS rabbits."
}

Data Fields

The data fields are the same among all splits.

default

• question_stem: a string feature.
• question_para_step: a list of string features.
• answer_label: a string feature.
• answer_label_as_choice: a string feature.
• choices: a dictionary feature containing:
  • text: a string feature.
  • label: a string feature.
• metadata_question_id: a string feature.
• metadata_graph_id: a string feature.
• metadata_para_id: a string feature.
• metadata_question_type: a string feature.
• metadata_path_len: a int32 feature.

Data Splits

name	train	validation	test
default	29808	6894	3003

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{wiqa,
      author    = {Niket Tandon and Bhavana Dalvi Mishra and Keisuke Sakaguchi and Antoine Bosselut and Peter Clark}
      title     = {WIQA: A dataset for "What if..." reasoning over procedural text},
      journal   = {arXiv:1909.04739v1},
      year      = {2019},
}

Contributions

Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @lhoestq for adding this dataset.